Sync Canvas courses into a local Obsidian vault — transcribed lecture notes, a cross-lecture concept graph, homework and deadlines — then study it with Claude or Gemini over MCP.
View on GitHub ↗Canvas Knowledge Graph & Study Assistant
Turn your Canvas courses into a local Obsidian vault — lecture slides transcribed to markdown, a cross-lecture concept graph, homework prompts, announcements and syllabus — then study it with Claude or Gemini through MCP, grounded in your own material with citations.
Local-first: everything lands as plain markdown you own, on your machine.
Example output — 135 concepts and 221 links auto-extracted from one course's 16 lectures, coloured by source lecture. You get a graph of your own classes, whatever they are; nothing here is subject-specific. Concepts are merged across lectures, so a concept links to every lecture that touches it. The same vault opens directly in Obsidian for graph view and backlinks — or regenerate this image for any of your courses with tools/graphsvg.py.
Why this, when Canvas AI tools already exist?
Honest positioning — several mature tools already overlap with parts of this:
- Canvas API MCP servers exist that wrap the Canvas API far more completely (90+ tools, including grading and instructor features). If all you want is to talk to Canvas from an LLM, use one of those — the live-Canvas tools here are deliberately thin. - Hosted study assistants do RAG over your course files, and concept-map generators turn uploaded PDFs into diagrams. Both are cloud SaaS: your material lives on their servers.
- Builds a real Obsidian vault — plain .md with [[wikilinks]], a concept graph merged across lectures (a concept links to every lecture it appears in), plus backlinks and graph view for free. - Local-first, you own
From the project README.
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